Fivetran vs Snowflake Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Fivetran Snowflake
Starts at Custom Custom
Number of plans 4 4
Free plan
Free trial
Pricing model usage-based usage-based

Free

$0/mo
  • 500,000 monthly active rows (MAR) for connections
  • 3,500 monthly active rows (MAR) for activations
  • 5,000 monthly model runs (MMR) for transformations

Standard

Popular
Custom
  • Unlimited users
  • 15-minute syncs
  • 700+ fully managed connectors
  • 200+ fully managed activation destinations
  • Integration for dbt Core™
  • Role-based access control
  • Access to Fivetran REST API
  • Access to SSH tunnels for encryption

Enterprise

Custom
  • 1-minute syncs
  • Fivetran Activations' Audience Hub
  • Enterprise database connectors
  • Custom roles
  • VPN tunnels (annual contract only)
  • SCIM/user provisioning
  • Pick any cloud provider (GCP, AWS, Azure)
  • Hybrid deployment option

Business Critical

Custom
  • Customer-managed keys for encryption
  • PCI DSS Level 1 certification
  • Private networking options

Standard

Custom

Enterprise

Popular
Custom

Business Critical

Custom

Virtual Private Snowflake

Custom

Fivetran vs Snowflake FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Fivetran has a free plan. Snowflake doesn't — though they do offer a free trial.
How do they charge?
Both use a usage-based model, so the comparison is straightforward — it comes down to features and limits at each price point.
Which one is a better deal?
Depends on what you need. Fivetran: Fivetran sits at the premium end of the ELT connector market — they're not trying to win on price, they're selling reliability and connector breadth against cheaper alternatives like Airbyte or Stitch. The custom pricing wall signals they're targeting mid-market and enterprise data teams with budget, not scrappy startups watching every dollar. Snowflake: Snowflake is the premium play in cloud data warehousing — they're not trying to win on price against BigQuery or Redshift, they're selling on performance, cross-cloud flexibility, and the Data Cloud ecosystem. They target mid-market to enterprise teams that have outgrown cheaper options and need serious scale.

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